TY - JOUR
T1 - Multitasking FBG sensors for condition monitoring with a wideband (DC-MHz) interrogation system
AU - Glasser, Ziv
AU - Liokumovitch, Egor
AU - Bank, Stas
AU - Simor, Nadav
AU - Kalnitsky, Alexander
AU - Sternklar, Shmuel
N1 - Publisher Copyright:
© 2023 Optica Publishing Group.
PY - 2023
Y1 - 2023
N2 - We demonstrate diagnosis of several machine-condition failures using wide-frequency-band interrogation of fiber Bragg grating (FBG) sensors. In collaboration with Israel's national water companyMekorot Ltd., a scaled-down version of a semi-submerged pumping system was constructed. By monitoring broadband signals from DC to ultrasound (>MHz), at different points of the engine and the submersed pump, the system was able to diagnose incipient cavitation, faulty bearings, and submerged dynamic water-level measurements. In addition, a metal embedded FBG sensor was investigated, revealing the potential of using FBGs in applications where bonding is problematic such as bearing housing. These results prove that wideband data acquisition, together with advanced analytics, could open a variety of new applications in the fields of structural health and machine-condition monitoring.
AB - We demonstrate diagnosis of several machine-condition failures using wide-frequency-band interrogation of fiber Bragg grating (FBG) sensors. In collaboration with Israel's national water companyMekorot Ltd., a scaled-down version of a semi-submerged pumping system was constructed. By monitoring broadband signals from DC to ultrasound (>MHz), at different points of the engine and the submersed pump, the system was able to diagnose incipient cavitation, faulty bearings, and submerged dynamic water-level measurements. In addition, a metal embedded FBG sensor was investigated, revealing the potential of using FBGs in applications where bonding is problematic such as bearing housing. These results prove that wideband data acquisition, together with advanced analytics, could open a variety of new applications in the fields of structural health and machine-condition monitoring.
UR - http://www.scopus.com/inward/record.url?scp=85171232869&partnerID=8YFLogxK
U2 - 10.1364/AO.495859
DO - 10.1364/AO.495859
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C2 - 37706940
AN - SCOPUS:85171232869
SN - 1559-128X
VL - 62
SP - 5890
EP - 5895
JO - Applied Optics
JF - Applied Optics
IS - 22
ER -